Evidence map›Paper›PMID 36516181›Full record

ArticlePloS one2022

Socioeconomic status index is an independent determinant of breast cancer screening practices: Evidence from Eastern China.

Shunhua Zhang, Hairuo Wang, Binhao Liu, Jianwei Yu, Yizheng Gao

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In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Prevalence of Breast Cancer Screening in Asia: Systematic Review and Meta-Analysis.Asian Pacific journal of cancer prevention : APJCP · 2024
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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Shunhua ZhangSchool of Medical Imaging, Bengbu Medical College, Bengbu, Anhui, China.ORCID 0000-0003-3221-3628
Hairuo WangSchool of Medical Imaging, Bengbu Medical College, Bengbu, Anhui, China.
Binhao LiuSchool of Clinical Medicine, Bengbu Medical College, Bengbu, Anhui, China.
Jianwei YuSchool of Medical Imaging, Bengbu Medical College, Bengbu, Anhui, China.
Yizheng GaoSchool of Medical Imaging, Bengbu Medical College, Bengbu, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer is the most prevalent malignancy affecting Chinese women, and early routine screening is incredibly important for its prevention and control. This study aimed to investigate the role of socioeconomic status (SES) in female breast cancer screening practices using the composite SES index.

methodsThis cross-sectional study involved 1816 women in Eastern China. Data were collected using an online self-administered questionnaire from January 2020 to May 2021. We used principal component analysis to construct the composite SES index using educational level, annual household income, and occupation. Logistic regression was used to analyze the association between the SES index and breast cancer screening utilization.

resultsOf the participants, 19.27% reported having performed breast self-examination, 12.89% reported having undergone clinical breast examination, and 3.52% reported having received mammography. The SES has a significant influence on the patronage of female breast cancer screening in Eastern China. The composite SES index was found to have a positive and significant association with breast cancer screening practices. An interaction was found between the SES index and patient characteristics, such as health awareness, marital status, and location of residence. In addition, the SES index had a positive effect on breast cancer-related knowledge.

conclusionsSocioeconomic inequalities existed in Eastern China and were related to breast cancer screening patronage. The composite SES index was identified as a significant determinant of breast cancer screening practices. Our results highlighted the negative impacts of socioeconomic inequities on female breast cancer screening utilization. This suggests that reducing socioeconomic inequalities in breast cancer screening requires more focused interventions and concerted outreach activities for groups with lower education levels, lower income, or lower occupational classes.

Indexed as

Breast NeoplasmsEarly Detection of CancerChinaCross-Sectional StudiesFemaleHumansSocial ClassSocioeconomic Factors

Identifiers

PMID36516181
PMCPMC9749974

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.